#deep learning beginner guide
294 related articles
The Complete AI Researcher Learning Ro…
·3 min
The Complete AI Researcher Learning Roadmap: A Beginner's Guide to Deep Learning
A structured AI/ML learning roadmap covering Python, math, machine learning, deep learning, and MLOps — with timelines, milestones, and free resource recommendations.
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·3 min
PyTorch Beginner's Guide: A Complete Analysis of Deep Learning Framework Selection and Evolution
A comprehensive analysis of why PyTorch became the most mainstream deep learning framework. Covers framework history, comparisons with TensorFlow and Keras, dynamic graphs, Tensors, installation guide, and cloud trends.
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·2 min
awesome-systematic-trading: A Complete Guide to the 9,000-Star Quantitative Trading Open Source Resource List
Deep dive into the 9,100-star awesome-systematic-trading GitHub project covering backtesting frameworks, strategy implementations, data tools, and classic books for quantitative traders.
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·3 min
Claude Code vs Codex: Hands-On Comparison and Installation Guide for AI Programming Tools
In-depth comparison of Claude Code and Codex AI programming tools covering accuracy, installation, and network setup tips to help developers choose the best solution.
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·5 min
Loop Engineering Explained: The New Programming Paradigm Where AI Prompts Itself
Loop Engineering is a paradigm shift in AI usage. Learn how to build automated loops where agents explore, execute, and verify tasks autonomously, with a hands-on e-commerce case study.
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·5 min
Open-Source STEM Education Robot: Smart Ball-Fetching Interaction Powered by Edge AI Object Detection
An open-source STEM education robot using Edge Impulse edge AI for local object detection, teaching kids computer vision and ML through an engaging ball-fetching game with anthropomorphic design.
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·5 min
A Beginner's Guide to Prompt Engineering: From One-Off Instructions to a Systematic Methodology
A beginner's guide to prompt engineering covering the four functions of prompts, the key differences from prompt engineering, a six-step systematic workflow, and critical technical and practical limitations.
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·3 min
Codex Beginner's Guide: Hands-On Review of OpenAI's Programming Assistant with Practical Tips
A detailed guide to OpenAI Codex's core features, real-world usage, comparison with Claude Code, and DeepSeek configuration tips for developers choosing AI programming tools.
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·4 min
LibTV Hands-On: A Full Breakdown of How an AI Agent Produces an Animated Short in One Day
Hands-on test of LibTV's AI Agent: from script and storyboarding to video compositing, one person completes an animated short in a day. Full breakdown of the Skill library, node workflow, and Story Board features.
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·5 min
The Complete Guide to AI Agent Development: A Four-Stage Progressive Roadmap
A systematic guide to AI Agent development across four stages: LLM fundamentals, ReAct paradigm, memory & tools, and multi-agent collaboration for developers.
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·4 min
30+ Free Classic AI/ML Books Recommended: All Collected in One GitHub Repository
An open-source GitHub repo curates 30+ legally free AI/ML classic books covering deep learning, RL, NLP, computer vision & more, with automated link checking.
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·4 min
Claude Code Tutorial: Environment Setup, Command Reference & Git Workflow in Practice
Complete guide to Claude Code covering CLI installation, domestic model switching, core commands, Git automation workflows, and automated code review and fix loops for enterprise projects.
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·5 min
30+ Free AI & Machine Learning Classic Textbooks: All in One GitHub Repository
Awesome Free AI Books is an open-source repo with 30+ legally free AI & ML classic textbooks covering deep learning, reinforcement learning, NLP, LLMs, and more — all linking to official sources with weekly automated link checks.
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·3 min
Getting Started with AI Agent Development: A Learning Path from Zero to Deployment
A systematic guide to the complete learning path for AI Agent development—covering prompt engineering, RAG knowledge bases, LangChain & LangGraph, fine-tuning, and multi-agent collaboration.
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·2 min
Getting Started with AI Agent Development: A Complete Guide from Zero to Real-World Projects
A beginner-friendly guide to AI Agent development, covering the full learning path from LLM basics, prompt engineering, and RAG to LangChain and multi-agent collaboration.
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·2 min
Agent Skills Explained: Giving AI Plug-and-Play Capability Packs
Agent Skills is a lightweight open-source format that lets AI agents extend professional capabilities on demand, like loading plugins. Learn what Agent Skills are, the problems they solve, and their modular advantages.
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·2 min
A Complete Guide to Learning AI Agents from Scratch: From Beginner to Practice
A complete guide to learning AI Agents: from large model fundamentals and core technologies to hands-on projects. Systematically outlines beginner methods and exposes crash-course marketing traps.
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·2 min
GitHub Weekly Trending: 5 AI Coding Tools from Beginner to Advanced
This week's GitHub trending focuses on AI coding: Skills sets rules for Agents, Omniroute is a never-down AI gateway, Code Review Graph is a code knowledge graph, PI is an open-source Agent toolbox, and AI Engineering from Scratch teaches from zero.
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·2 min
GitHub Weekly Trending: 5 AI Coding Tools from Beginner to Advanced
This week's GitHub trending focuses on AI coding: Skills sets rules for Agents, Omniroute is a never-down AI gateway, Code Review Graph builds a code knowledge graph, PI is an open-source Agent toolkit, and AI Engineering from Scratch teaches from the ground up.
Read more →
·2 min
Becoming a Computer Whiz: The Three-Stage Training Method from Beginner to Breakthrough
Why do some still feel lost after 4 years of coding? Break down the three-stage computer learning method: build fundamentals, pick a direction, learn by doing.
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